Build rule-based automation for energy-linked markets without coding. Set entries, exits and risk controls across Binance, Kraken and Bybit in minutes.
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Instead of watching every candle, Oil trading automation on Coinrule helps you translate a plan into if-then rules that run 24-7. Connect Binance, Kraken, Bybit or OKX via API keys and keep funds on the venue while the engine executes.
Traders start with triggers like RSI, moving averages and breakout levels, then map them to market or limit orders. Add time filters so rules only run during the London-New York overlap or around scheduled inventory releases. The interface keeps logic readable, so you can audit what fired and why.
Every bot can enforce position sizing, max daily loss and cooldown periods after a stop. Use layered exits like taking 25 percent at 2 percent and trailing the rest by 1.2 percent as price moves in your favor. Logs and alerts make it easy to review behavior and iterate.
Energy-volatility playbooks
Templates cover trend, mean reversion and range tactics you can tune for your preferred proxy market. For example, run a breakout rule on 1-hour candles and require volume confirmation before entry. Clone a template, change thresholds and deploy a new variant in minutes.
Multi-venue execution
Run the same rule set across multiple exchanges or isolate per-venue risk limits. You can route spot and perps strategies separately, then monitor exposure from one dashboard. For on-chain execution, see /automated-trading for how smart accounts and routing work.
Volatility Breakout
Enters on a break of the prior 24-hour high with ATR expansion. Confirms with a fast MA above a slow MA. Exits on a 1.5x ATR trailing stop.
Stop Loss and Trailing Take Profit
Sets an initial stop at 2.5 percent and takes 50 percent profit at 3 percent. Trails the remainder by 1.2 percent. Built to reduce giveback in fast moves.
RSI Oversold Rebound
Buys when RSI drops below 30 on 4-hour candles and price holds above MA200. Sells when RSI rises above 55. Adds a time stop after 48 hours if flat.
Grid Trading
Places a grid of buys and sells inside a defined range with equal spacing. Re-centers if price closes outside the band. Best suited to choppy conditions.
Donchian Channel Turtle
Goes long on a 20-period Donchian breakout and adds on new highs. Exits on a 10-period channel break. Uses fixed fractional sizing per entry.
Volatility Breakout
Enters on a break of the prior 24-hour high with ATR expansion. Confirms with a fast MA above a slow MA. Exits on a 1.5x ATR trailing stop.
Stop Loss and Trailing Take Profit
Sets an initial stop at 2.5 percent and takes 50 percent profit at 3 percent. Trails the remainder by 1.2 percent. Built to reduce giveback in fast moves.
RSI Oversold Rebound
Buys when RSI drops below 30 on 4-hour candles and price holds above MA200. Sells when RSI rises above 55. Adds a time stop after 48 hours if flat.
Grid Trading
Places a grid of buys and sells inside a defined range with equal spacing. Re-centers if price closes outside the band. Best suited to choppy conditions.
Donchian Channel Turtle
Goes long on a 20-period Donchian breakout and adds on new highs. Exits on a 10-period channel break. Uses fixed fractional sizing per entry.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a 2 percent stop. Helps avoid low-volume whipsaws.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 40. Sells at the middle band or on a 1.8 percent take profit. Uses a tight stop for trend days.
ATR Channel Breakout
Builds an ATR channel around a moving average and enters on a close outside the channel. Exits when price returns inside the band. Skips quiet sessions with a volatility filter.
Supertrend Momentum
Enters when Supertrend flips bullish on 1-hour candles and holds for two closes. Exits on the first bearish flip. Adds a trailing stop to manage reversals.
Breakout + Retest
Buys after a breakout, then waits for a retest within 0.5 percent of the level. Confirms with higher highs before scaling in. Exits on a close back below the level.
Unlike manual trading, you can define guardrails first and let entries come second. Set a rule like: if price drops 5 percent in 4 hours, buy 2 percent of balance, but only if total exposure stays under 20 percent. Add a second rule that sells 25 percent at 3 percent profit and moves the stop to breakeven after 1.5 percent. These constraints keep execution consistent across fast sessions.
On Coinrule, you connect via API keys with trading-only permissions, so withdrawals stay disabled. Run strategies on Binance, Coinbase, KuCoin and Bitget from one workspace. You can pause, clone or schedule bots without touching your funds.
When volatility spikes, filters help reduce noise. Require RSI below 35 and MA100 above price before a rebound entry, or skip trades if spread widens beyond a set threshold. You can also add time windows so rules avoid thin liquidity periods.
After launching, review the event log to see which conditions triggered and which were blocked by risk limits. Set real-time alerts for fills, stop hits and drawdown thresholds. Small iterations compound into a more stable system over time.
Launch BotFAQ
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Priya K.
Oliver S.
Mei L.
Diego R.
Sarah K.
Energy-linked moves can gap and trend, so execution speed and consistency matter. Use conditional orders, cooldowns and max slippage settings to reduce surprises. Keep position sizing rule-based so one bad session does not dominate results.
If you trade perps, cap leverage and set a hard liquidation buffer with conservative stops. Pair a trend bot with a smaller mean-reversion bot, then limit total exposure to a fixed percent. This keeps the portfolio from leaning too far in one direction.
Schedule rules to pause on weekends or during low-liquidity hours. Use alerts to notify you when a bot has not traded for a set period, which can signal a broken assumption. One-click pause helps when conditions change.
Each trigger and order is recorded so you can review outcomes without guesswork. That makes it easier to refine thresholds like RSI 30 vs 35 or a 2 percent vs 3 percent stop. Over time, your playbook becomes a repeatable workflow.
Once a rule set behaves well, clone it and adjust only one variable at a time. Increase size in steps, such as 0.5 percent to 1 percent per trade, while keeping the same risk ceiling. This approach reduces overfitting and keeps changes measurable.
Pick a template that matches your style, connect an exchange and define your risk limits before you go live. Then iterate with small changes and clear logs until the behavior matches your intent. Coinrule is built to make systematic execution practical for individual traders.
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